Scientists have built the most detailed 3D models yet of temperatures deep beneath Greenland. The results reveal uneven heat ...
Morning Overview on MSN
This new 3D chip could smash AI’s biggest bottleneck
Artificial intelligence has raced ahead so quickly that its biggest constraint is no longer clever algorithms but the ...
Discover why FBTC ETF stands out for short/medium-term investors. Explore its liquidity, macro trends, and unique positioning ...
MemryX Inc., a company delivering production AI inference acceleration, today announced its strategic roadmap for the MX4. The next-generation accelerator is engineered to scale the company's ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Abstract: This paper presents attention-based deep neural networks for high-dimensional microwave modeling to predict behavior of spatio-temporal modulated (STM) non-reciprocal bandpass filters ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Abstract: Calibration of the composite load model with distributed generation (CMPLDWG) can be challenging due to its nonlinear and high-dimensional characteristics. To address this issue, this paper ...
A team of researchers has generated one of the most detailed 3D maps of human chromosomes, cataloging over 140,000 DNA looping interactions.
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...
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